CUDA devicequery - ION 330

리플 룩 ion330 모델에 내장된 ion에 대한 devicequery이다.
2개의 MP가 존재해서 총 16개의 CUDA core가 존재한다.

~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release$ ./deviceQuery [deviceQuery] starting... ./deviceQuery Starting...  CUDA Device Query (Runtime API) version (CUDART static linking) Found 1 CUDA Capable device(s) Device 0: "ION"   CUDA Driver Version / Runtime Version          4.2 / 4.2   CUDA Capability Major/Minor version number:    1.1   Total amount of global memory:                 254 MBytes (266010624 bytes)   ( 2) Multiprocessors x (  8) CUDA Cores/MP:    16 CUDA Cores   GPU Clock rate:                                1100 MHz (1.10 GHz)   Memory Clock rate:                             800 Mhz   Memory Bus Width:                              64-bit   Max Texture Dimension Size (x,y,z)             1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048)   Max Layered Texture Size (dim) x layers        1D=(8192) x 512, 2D=(8192,8192) x 512   Total amount of constant memory:               65536 bytes   Total amount of shared memory per block:       16384 bytes   Total number of registers available per block: 8192   Warp size:                                     32   Maximum number of threads per multiprocessor:  768   Maximum number of threads per block:           512   Maximum sizes of each dimension of a block:    512 x 512 x 64   Maximum sizes of each dimension of a grid:     65535 x 65535 x 1   Maximum memory pitch:                          2147483647 bytes   Texture alignment:                             256 bytes   Concurrent copy and execution:                 No with 0 copy engine(s)   Run time limit on kernels:                     No   Integrated GPU sharing Host Memory:            Yes   Support host page-locked memory mapping:       Yes   Concurrent kernel execution:                   No   Alignment requirement for Surfaces:            Yes   Device has ECC support enabled:                No   Device is using TCC driver mode:               No   Device supports Unified Addressing (UVA):      No   Device PCI Bus ID / PCI location ID:           3 / 0   Compute Mode:      < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.2, CUDA Runtime Version = 4.2, NumDevs = 1, Device = ION [deviceQuery] test results... PASSED > exiting in 3 seconds: 3...2...1...done!

그나저나.. 대역폭에서 내장형 그래픽이라 메인메모리를 공유하는데 왜 대역폭에서 이렇게 차이가 날까?

~/NVIDIA_GPU_Computing_SDK/C/bin/linux/release$ ./bandwidthTest [bandwidthTest] starting... ./bandwidthTest Starting... Running on...  Device 0: ION  Quick Mode  Host to Device Bandwidth, 1 Device(s), Paged memory    Transfer Size (Bytes)        Bandwidth(MB/s)    33554432                     887.0  Device to Host Bandwidth, 1 Device(s), Paged memory    Transfer Size (Bytes)        Bandwidth(MB/s)    33554432                     735.9  Device to Device Bandwidth, 1 Device(s)    Transfer Size (Bytes)        Bandwidth(MB/s)    33554432                     5345.2 [bandwidthTest] test results... PASSED > exiting in 3 seconds: 3...2...1...done!

8800GT 에 비하면 확실히 nbody 에서의 연산속도와 fps가 많이 떨어지는 느낌
(8800GT에서는 150fps에 50GFLOP/s 정도 나옴)

2010/11/02 - [Programming/openCL / CUDA] - CUDA 예제파일 실행결과 + SLI

+ 리눅스에서 nvidia 드라이버 버전 보는 방법

$ cat /proc/driver/nvidia/version NVRM version: NVIDIA UNIX x86 Kernel Module  295.40  Thu Apr  5 21:28:09 PDT 2012 GCC version:  gcc version 4.6.3 (Ubuntu/Linaro 4.6.3-1ubuntu5) [링크 : http://www.nvnews.net/vbulletin/showthread.php?t=127289]